---
library_name: transformers
base_model: bowphs/evacun2025-1
tags:
- generated_from_trainer
model-index:
- name: evacun-lemmatization-vanilla-second-split
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# evacun-lemmatization-vanilla-second-split

This model is a fine-tuned version of [bowphs/evacun2025-1](https://huggingface.co/bowphs/evacun2025-1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2926
- Exact Match: 0.8811

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50

### Training results

| Training Loss | Epoch   | Step  | Validation Loss | Exact Match |
|:-------------:|:-------:|:-----:|:---------------:|:-----------:|
| 0.0534        | 5.9999  | 27542 | 0.1986          | 0.8633      |
| 0.0399        | 6.9999  | 32132 | 0.2140          | 0.8587      |
| 0.0275        | 8.0     | 36723 | 0.2305          | 0.86        |
| 0.0204        | 8.9999  | 41313 | 0.2508          | 0.8654      |
| 0.0154        | 9.9998  | 45903 | 0.2628          | 0.8728      |
| 0.0124        | 11.0000 | 50494 | 0.2812          | 0.8745      |
| 0.0107        | 11.9999 | 55084 | 0.2865          | 0.8734      |
| 0.0088        | 12.9998 | 59674 | 0.2926          | 0.8811      |
| 0.0067        | 13.9999 | 64265 | 0.3054          | 0.8648      |
| 0.0055        | 14.9999 | 68855 | 0.3151          | 0.8668      |
| 0.0054        | 16.0    | 73446 | 0.3202          | 0.8737      |
| 0.0042        | 16.9999 | 78036 | 0.3277          | 0.8695      |
| 0.0041        | 17.9998 | 82626 | 0.3282          | 0.8737      |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.20.0